import torch
from torch import nn
from d2l import torch as d2l

net = nn.Sequential(
    nn.Conv2d(1,96,kernel_size=11,stride=4,padding=1),nn.ReLU(),
    nn.MaxPool2d(kernel_size=3,stride=2),
    nn.Conv2d(96,256,kernel_size=5,padding=2),nn.ReLU(),
    nn.MaxPool2d(kernel_size=3,stride=2),
    #region VGG块
    nn.Conv2d(256,384,kernel_size=3,padding=1),nn.ReLU(),
    nn.Conv2d(384,384,kernel_size=3,padding=1),nn.ReLU(),
    nn.Conv2d(384,256,kernel_size=3,padding=1),nn.ReLU(),
    nn.MaxPool2d(kernel_size=3,stride=2),
    #region
    nn.Flatten(),
    nn.Linear(6400,4096),nn.ReLU(),nn.Dropout(p=0.5),
    nn.Linear(4096,4096),nn.ReLU(),nn.Dropout(p=0.5),
    nn.Linear(4096,10)
)
